AI roadmap
What is AI roadmap?
A phased plan that takes AI from first pilots to production, with timelines, owners and milestones tied to business outcomes. Where the strategy sets direction, the roadmap sets sequence: what gets built now, next and later, and who is accountable. A realistic horizon is 12 to 18 months, not a single quarter.
Why it matters
A roadmap earns its keep by making trade-offs visible before they turn into fights. Everything cannot be first, and a written sequence forces leaders to agree on what waits, which is where most of the honest argument happens. It also exposes dependencies that wishful planning hides. You cannot deploy the customer-facing model until the data it needs is cleaned and governed, so that unglamorous work has to come first or the headline milestone quietly slips. The last job it does is guard against drift. When a shiny new tool gets hyped mid-year, the roadmap is what lets a leader say “not now” without having to reopen the whole plan.
In practice
A team maps three phases and immediately sees the problem: the high-value use case everyone wants sits in phase three because it depends on data work nobody had scheduled. So phase one becomes the plumbing, phase two a low-risk internal pilot, and the headline project moves to where it can actually succeed. The plan changes the order of the work, and the order is what makes it real.
